WiSpy: Through-Wall Movement Sensing and Person Counting Using Commodity WiFi Signals

In current era, the world is becoming more and more tetherless. A wide range of applications relies on wireless signals. In this paper, we demonstrate a system that senses movement of person behind a wall and predicts number of moving persons without instrumenting the body of target using wireless signals. This system relies on commercial off-the-shelf components and commodity WiFi signals for sensing and prediction of moving targets. In particular, we use channel state information that can incur effects induced by movement of persons. We evaluate the performance of system for a challenging scenario like 13-inch thick brick wall and our results show that system can predict up to three persons moving in a closed environment with maximum average accuracy of 96.97%.